Step 1

Parse respondents' data into usable format

read data from file
split data per line
split line per ',' to obtain data by category
save data in object in the format of, 1 entry with multiple key + value pairs

Step 2

Match respondents parsed data to project requirements

match industries' (there are 'x' industries listed in the project requirements --> keep count of number of industries a respondent matches with the requirements, use # of matches as matching score factor)
match job title
calculate distance of respondents to different cities in requirements (include distance as a matching score factor)
filter out any respondent whose distance to cities is larger than 100km

Step 3

Output results ordered by matching score

develop matching score algorithm (3 factors - of same priority?)
order results
output

Step 4

Write tests

calculate distance function
- test for valid coordinates input
- checks distance calculation
- check degrees to radian conversion
return correct parsed data from csv file test
- test input file is .csv format
- test number of lines in input file against number of entries in result obj
- test parsed data quality
matching function
- test edge cases
- cover all errors
matchScore function
- test score calculation
sortingAlgorithm function
- test input values are correctly sorted
- test edge cases